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README.md

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 # ACROSS: A Deformation-Based Cross-Modal Representation for Robotic Tactile Perception
 ## Accepted to 2025 IEEE Conference on Robotics and Automation (ICRA 2025)
 ### Paper page can be found [here](https://wzaielamri.github.io/publication/across).
+### Github Repository can be found [here](https://github.com/wzaielamri/across_framework).
 
 
 # DIGIT BioTac Isaac Gym.
 
-This package contains the dataset for the BioTac to Digit pipeline. It contains paired deformation meshes for BioTac and DIGIT sensor.
-This dataset is simulated with ISAAC Gym. 
+This package contains the dataset for the BioTac to Digit pipeline. It includes over 155K unique 3D mesh deformation pairs from interactions involving BioTac and DIGIT sensors. The dataset covers various types of indenters, the forces applied to each sensor.
+
+This dataset is simulated with Isaac Gym. To resimulate the dataset or extand it, feel you can use the code provided on our [github repository](https://github.com/wzaielamri/across_framework).
+
+
+## Dataset Structure
+
+The dataset is structured as follows:
+
+```
+results_biotac_[index].hdf5
+results_digit_[index].hdf5
+```
+The indexes are used to match the pairs of BioTac and DIGIT sensors. The dataset is split into 3 parts.
+
+Each file contains 100 unique trajectories with 9 different indenters.
+
+Each trajectory contains n steps and the 6D transformation of the sensor. 
+
+Each step contains the following information:
+
+'max_contact_distances', 'max_contact_distances_pos', 'net_force_vecs', 'nodal_coords'